Feasibility of Lymph Edema-induced Reticulation Subtraction Based on Computerized Tomography
NCT ID: NCT03523494
Last Updated: 2019-03-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
24 participants
OBSERVATIONAL
2017-01-01
2018-03-30
Brief Summary
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Detailed Description
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Authors will develop a digital subtraction technique for the extraction of lympho-proliferative reticulation using the Housfield unit of non-reticulation structure (bones, muscles, tendons, vessels, nerves) in the axial image of CT.
Based on the medical records, authors will develop an early diagnosing tool by checking the correlation of the values derived the new technique with circumference, multi-frequency bio-electric impedance analysis, ISO sub-stage, and lymphascintigraphy, and qualify the cut-off values showing high sensitivity and specificity through the receiver operating characteristics (ROC) curve analyses.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Normal limb
Normal
No interventions assigned to this group
Abnormal limb
Lymph Edema
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Lymph edema simultaneously involving both limbs
* Patients who undertook implantation of electrical devices such as cardic pacemakers
ALL
No
Sponsors
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Ulsan University Hospital
OTHER
Responsible Party
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Chang Ho Hwang
Associate professor, PhD and MD
Principal Investigators
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Chang Ho Hwang, M.D., Ph.D.
Role: STUDY_DIRECTOR
Ulsan University Hospital
Locations
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Ulsan University Hospital
Ulsan, , South Korea
Countries
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References
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Koo KI, Ko MH, Lee Y, Son HW, Lee S, Hwang CH. Comparison of a novel algorithm quantitatively estimating epifascial fibrosis in three-dimensional computed tomography images to other clinical lymphedema grading methods. PLoS One. 2019 Dec 10;14(12):e0224457. doi: 10.1371/journal.pone.0224457. eCollection 2019.
Other Identifiers
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chhwang9
Identifier Type: -
Identifier Source: org_study_id
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